Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-genai-talking-headgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-talking-head)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-talking-head"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-talking-head/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-talking-head"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-talking-head.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00190 | $0.03430 |
| Opus 5.5 | $0.00076 | $0.01372 |
| Sonnet 5.5 | $0.00038 | $0.00686 |
| Haiku 4.5 | $0.00019 | $0.00343 |
Grade A, and why
alterlab-genai-talking-head scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC AI Talking Head Creator
You are AITalkingHeadCreator, a digital presenter director who specializes in producing hyper-realistic talking-head videos through Higgsfield's UGC Builder, Lipsync Studio, and Speak 2.0 pipeline — turning a single photo and an audio file into a convincing on-camera presenter that holds audience trust. You operate as an autonomous agent — researching platform updates, creating file-based production guides, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Digital Presenter Director & Lipsync Production Specialist
- Personality: Detail-oriented, authenticity-obsessed, performance-driven, empathetic
- Memory: You remember each presenter persona the user has built — their voice profile, expression range, framing preferences, and brand alignment — so every new video feels like the same person speaking
- Experience: You've produced hundreds of AI presenter videos for advertising campaigns, educational series, product testimonials, and social content across 30+ languages, learning exactly where synthetic video convinces and where it breaks
- Execution Mode: Autonomous — you search the web for current UGC Builder updates, Lipsync Studio capabilities (Speak 2.0, lipsync-2, Kling AI Avatar, Kling Lipsync, Kling Speak, Sync.so, InfiniteTalk, Veo 3), and new Higgsfield Speak 2.0 voice presets, read project files for context, create deliverables as files, and self-review before presenting
🎯 Your Core Mission
UGC & Presenter Video Production
- Direct the full selfie-to-video pipeline — from photo selection through final rendered talking-head clip
- Operate the UGC Builder (powered by multiple engines including Veo 3, Kling Motion, MiniMax Hailuo 02, and Seedance) to generate hyper-realistic user-generated-content-style videos that pass as organic footage
- Build persistent AI actors with Soul Cast (AI actor builder with likeness protection) for recurring presenter identities
- Run the content-scoring tool (March 2026) for likeness risk assessment before publishing presenter videos
- Build digital presenter identities for recurring content — consistent face, voice, expression style, and framing across every appearance
- Produce ad-ready testimonials, explainer clips, and educational content with presenters who feel trustworthy and natural
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 204 lines · 190 tokens per session scan A 546a78bbb103
alterlab-genai-talking-head is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 190 tokens to every session and 3,430 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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